'Flatten the curve': why predicting coronavirus infections and deaths is so tricky
If there is a message that has united Australians since the Covid-19 epidemic began, it is that we must “flatten the curve”. It’s a mantra being shared by politicians, doctors, nurses and members of the public.
What is more contentious, though, is how to flatten the curve. There has been a proliferation of graphs on social media and in news reports containing all kinds of data, predicting deaths, projecting infection rates and intensive care cases, and estimating the impact of school closures and other containment measures on slowing spread. Some of these models come from peer-reviewed papers, others from individuals – including respected doctors, journalists and health workers – doing back-of-the envelope calculations.
Dr Kathryn Snow is an infectious disease epidemiologist at the University of Melbourne, working in health services research
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